The 2026 RBMS Conference Program Planning Committee is issuing a second call for proposals for virtual and short-form content ...
The ACRL Board of Directors approved a new Companion Document to the ACRL Framework for Information Literacy for Higher Education: Nursing (PDF) at its January 29, 2026, virtual meeting. The ACRL Heal ...
February 9-13, 2026 is International Love Data Week, an initiative of ICPSR at the University of Michigan. This year’s theme, ...
ACRL is dedicated to enhancing the ability of library and information professionals to dream big and shape our future. ACRL values your work and expertise. Your participation matters, and there is ...
Nancy A. Henke is a textbook affordability librarian at the University of Northern Colorado in Greeley, CO. Natalie has been ...
Natalie Eloisa Marquez is a reference library assistant at the University of California - Irvine. Natalie has been a member ...
Jane Hammons is an Associate Professor and the Teaching & Learning Engagement Librarian at The Ohio State University. In addition to her MSLIS, Jane has master’s degrees in history and instructional ...
Jennifer A. DeVito is a Director of Access & User Services at Stony Brook University Libraries in Stony Brook, NY. Jennifer has been a member of ACRL for 17 years and is your ACRL Member of the Week ...
Every two years, the ACRL Research Planning and Review Committee releases an environmental scan of higher education, including developments with the potential for continuing impact on academic ...
The ACRL AI Competencies for Library Workers Task Force invites your feedback on a draft of proposed “AI Competencies for Academic Library Workers” (PDF). The working group is following ACRL ...
Every two years, the ACRL Research Planning and Review Committee releases an environmental scan of higher education, including developments with the potential for continuing impact on academic ...
Today’s artificial intelligence, specifically generative AI, uses technologies such as machine learning, large language models, and massive datasets to create human-like content such as writing, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results